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Connection

Associate AI Solutions Engineer

Connection

. Build, test, integrate, and deploy enterprise AI applications, copilots, agents, and supporting components under the guidance of senior engineers .

Posted 9/21/2026full-timeRemote • New Hampshire • United StatesJuniorMid-Level💰 $86,000 - $110,575 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and deploying AI applications using Microsoft technologies, including Python and C#/.NET, while ensuring secure integration with enterprise systems and APIs. Proficient in automated testing, CI/CD practices, and monitoring for AI quality and performance.

Highest-signal resume keywords
Microsoft FoundryPython DevelopmentC#/.NET DevelopmentAzure AI ServicesAutomated Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Application DevelopmentREST APIsCI/CD PracticesData IntegrationAgent Design ConceptsGrounding and Retrieval-Augmented GenerationPower PlatformAzure FunctionsGitHub CopilotMicrosoft Graph
Soft Skills
Strong CommunicationCollaborationProblem-SolvingCuriosityDocumentation
Tools & Technologies
Microsoft FabricCopilot StudioPower BIDataverseSharePointAzure AI SearchPower AutomateCustom ConnectorsLakehousesSemantic Models
Certifications & Qualifications
Microsoft Certifications in Azure AIMicrosoft FabricCopilot StudioPower PlatformMicrosoft 365 Agent Development
Industry Keywords
Generative AICloud SecurityIdentity PracticesResponsible AIEnterprise APIs

Tech Stack

Tools & technologies
AzureCloudPython.NET

About the role

Key responsibilities & impact
  • Build, test, integrate, and deploy enterprise AI applications, copilots, agents, and supporting components under the guidance of senior engineers
  • Develop solution components using Microsoft Foundry, Copilot Studio, Microsoft Fabric, Microsoft 365 Copilot and Agent Builder, Power Platform, Azure services, Power BI, and related Microsoft technologies
  • Create agent actions, tools, APIs, connectors, workflows, integrations, prompts, structured outputs, and tool-use flows using approved patterns and secure interfaces
  • Develop application components and agent backends using Python and/or C#/.NET, Azure Functions, REST APIs, source control, automated testing, and CI/CD practices
  • Integrate AI solutions with enterprise APIs, Dataverse, SharePoint, Microsoft Graph, databases, SaaS applications, and other approved data sources
  • Build grounding and retrieval-augmented generation capabilities using enterprise content, Azure AI Search, embeddings, vector search, Fabric data assets, and permission-aware retrieval patterns
  • Support Power Automate flows, Power Apps, custom connectors, Dataverse components, Fabric pipelines, notebooks, lakehouses, warehouses, and semantic models
  • Implement secure identity and access practices using Entra ID and related Azure services
  • Create evaluation datasets and automated tests to assess AI quality, grounding, safety, task completion, and regression behavior
  • Apply logging, tracing, monitoring, and telemetry practices to evaluate quality, latency, reliability, model usage, consumption, and failures; escalate risks or anomalies as needed
  • Participate in code reviews, architecture discussions, documentation, customer workshops, implementation sessions, troubleshooting, and production deployments
  • Continue building independence in delivering AI applications, agents, and integrations of increasing complexity, with senior engineering review for architecture and production decisions

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Artificial Intelligence, Data Science, or a related technical field, or an equivalent combination of education and work experience
  • Minimum of 2 years of professional experience in software, cloud, data, application, solution, automation, or AI engineering
  • Hands-on experience contributing to the design, build, testing, integration, or deployment of AI, generative AI, or agentic applications through professional work, substantial projects, or comparable experience
  • Working knowledge of Microsoft AI and cloud technologies such as Microsoft Foundry, Copilot Studio, Microsoft Fabric, Microsoft 365 Copilot, Agent Builder, Power Platform, Azure AI services, Microsoft Graph, Azure AI Search, and GitHub Copilot
  • Experience developing application components using Python and/or C#/.NET, REST APIs, GitHub or similar source control, automated testing, and CI/CD practices
  • Experience integrating applications with enterprise APIs, data sources, Dataverse, SharePoint, Microsoft Graph, databases, or SaaS platforms
  • Working knowledge of RAG, embeddings, vector search, grounding, prompt development, structured outputs, and basic agent design concepts
  • Understanding of cloud security and identity practices, including Entra ID, least privilege, secure data access, secret handling, and Responsible AI fundamentals
  • Ability to support evaluation datasets, automated testing, logging, tracing, monitoring, and telemetry for AI applications
  • Strong communication, documentation, collaboration, curiosity, and problem-solving skills, with the ability to work effectively under technical guidance and incorporate feedback
  • Applicants must be authorized to work for any employer in the U.S.
  • Current Microsoft certifications or Applied Skills in Azure AI, Microsoft Fabric, Copilot Studio, Power Platform, Microsoft 365 agent development, or related technologies (preferred)
  • Experience using GitHub Copilot coding agents, custom agents, reusable instructions or skills, or approved MCP integrations (preferred)
  • Experience building Microsoft 365 declarative or custom-engine agents and extending Microsoft 365 Copilot through supported skills, plugins, connectors, or APIs (preferred)
  • Exposure to Microsoft Agent 365 governance, identity, observability, and security controls for enterprise agents (preferred)
  • Experience with multiple model providers, containerized applications, or infrastructure-as-code (preferred)

Benefits

Comp & perks
  • Competitive compensation
  • 401k plans
  • Medical insurance
  • Free therapy visits
  • Mental health coaching and tools
  • Meditation resources
  • Generous paid time off package
  • Vacation time
  • Care time
  • Wellness Time Off days
  • Volunteer Time Off days